A comparative study of pv fed speed control of dc motor using soft computing techniques

Abstract

This paper proposes the design a of PID controller to improve the dynamic response of a DC motor using Particle Swarm Optimization and comparing it with that obtained from fuzzy logic. The parameters of the PID controller are tuned in such a way that the settling time, rise time, maximum overshoot in the response are reduced and is closer to the expected ideal response. The model for DC motor was created in MATLAB/Simulink environment and the stimulation results were obtained.